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Prior to Datadog, Alex held leadership positions at several high-growth SaaS companies and has a proven track record of building marketing engines that deliver consistent, measurable growth. At Datadog, their first focus was sponsored trade shows – specifically targeting the AWS ecosystem.
Fast forward to the launch of AWS and the public cloud. Now, you still had to go out and hire engineers to build the product, build out the GTM team to build brand and distribution, etc. And now, engineering and distribution (go-to-market) constraints are greatly reduced with AI. So why try and compete now?
Google is on a trajectory to invest $50 billion this year. So AI products aren’t electric motors with one or two moving pieces, but more like the gas powered engines with many moving parts. AWS & others have stopped charging to move data. AWS cut prices more than 100 times in its first five years.
For context,Ron has an MBA and a master’s in engineering from Stanford. Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy. If I could go back, Id tell myself to invest even more aggressively early on. You gotta know the product cold.) Talent beats everything.
For the very first time, we’re releasing Engineer Chats , an internal podcast here at Intercom about all things engineering. Previously hosted by Jamie Osler , a Senior Product Engineer at Intercom for over seven years, it’s now up to Principal Systems Engineer Brian Scanlan to pick up the baton and keep the chats going.
800+ VCs Ready to Invest This year, were bringing together over 800 VCs and investors, making SaaStr Annual 2025 the ultimate place to pitch, connect, and secure funding. And we’ve got an AI Demo Stage running all day, every day this year, right in the heart of Annual. 100+ scale-ups and start-ups showing you how they do it!
So follow AWS, Azure and Google Cloud. And it is stressful, especially if you invested at those peaks or as founders raised money at relatively high valuations and multiples. Let’s look a whole level up to the real canaries-in-the-coalmine: AWS, Azure and Google Cloud. That’s the engine we’re all building on.
AWS can’t support 20 partners equally. When partnering with big folks like Drata does with AWS, you have to bring business to them. Drata was one of three companies mentioned on stage by AWS’ Head of Partnerships because they did the most transactions on the marketplace than any other company. Otherwise, it falls apart.
by Rich Archbold, Senior Director of Engineering at Intercom. In this battle, I’ve found a secret weapon hidden within one of our core engineering strategies, an idea called Run Less Software. When I say “execute”, I don’t simply mean the engineering challenges of building something. The same is true in software.
This means investing heavily in R&D and hiring top-tier talent to make your AI capabilities truly world-class. We are all becoming prompt engineers now. If your product doesnt leverage AI to improve efficiency or reduce costs, you might find yourself underpricing pressure. Is Deflation Coming? #5. CoPilots, But Everywhere. .
In engineering, you want to move fast, ship often and solve real customer problems. It means reducing choices amongst engineering teams and standardizing technology, so our team can spend as much time as possible delivering value to customers. Rich: Today I’m the Senior Director for Foundations Engineering at Intercom.
Historically, Cloud platforms like AWS and Azure help with the sporadic needs of renting a GPU for a few hours for training vs. long-term use, which would cost thousands of dollars. If someone doesn’t want to switch from AWS because AWS has partnerships with OpenAI, they have tradeoffs.
The team is typically highly cross-functional, working together with sales, product, engineering, and marketing, and the goal is to help the other teams make better decisions through data and financial modeling. In 2014, storage had historically been Dropbox’s most significant cost driver, with hundreds of millions of dollars spent on AWS.
Or of my investments, ones like Algolia and Salesloft, that yes, in theory, were playing in larger markets, but in practice, their entry points were quite narrow. How many sales reps, how much marketing spend, how many engineers will you really need? Worth investing 7+ years of your life in. Like Shopify and Okta, to pick two.
The Treasure Data platform instantly analyzed large amounts of data, which meant that companies didn’t need to hire lots of computer scientists or put up a considerable upfront investment for data projects. . Commoditization From AWS & Google Cloud. million and $1.2 million deals led by the founders.
In the cloud, AWS, Azure, & GCP have created about as much market cap as all the top 100 B2B & B2C publics built on cloud (Netflix, ServiceNow, AirBnb, etc). Startups can integrate with a plug-in, build a prompt-tuning engine (a little model on top of a bigger model), or develop & train their own models.
As it turns out, he’s also quite the writer – since the last time we spoke , he has published not one but two books on engineering. After writing An Elegant Puzzle about the challenges of engineering management in high-growth organizations, his focus shifted to a career path that’s much less understood – the technical leadership track.
For example, at Intercom, we primarily focus on return for effort; the estimated savings we will make per engineering hour required to execute the work. Instead of trying to democratize complex, per-product billing knowledge across your team, create a small team of engineers to navigate the world of cloud computing. Zero touch costs.
It could be a 6-month, 12-month, or multi-year venture, so you want the cash to invest in an upmarket strategy properly. Once you do, invest and go hard after this market and grow the sales team to serve that upmarket customer. #3: Make sure you can make that investment from a product perspective. Look at your team.
Ten years ago, we built the initial Intercom infrastructure in AWS’ us-east-1 data center in North Virginia, USA. As a first step, we’re delighted to announce that we now offer European data hosting – allowing your most important data to remain entirely in Europe, stored in the AWS-eu-west-1 region.
Come and hear about the typical pitfalls (and how to avoid them) from Pat Poels, an executive with over seven years under his belt leading Eventbrite’s now 300+ strong engineering team that sits across North America, South America, and Europe. I started right at the end of 2011, and I started in the role of VP of engineering.
We hoped this would build confidence within the team and provide evidence to our stakeholders for further investment. The positive impact we had on engineering was readily apparent, which led to more investment in the core technologies area. It also led to a queue of engineers wanting to join the team. Scaling to Rails.
If you want to scale, you need to make the investment of time and money and make sure your infrastructure suits your size of business. The more DevOps skills you want your team to have, the fewer engineers will show up with the exact combination of skills you want. But eventually you need to decide what stage your business is in.
Does it cost so, so much to host a few million lines of code on AWS? The renewals, upsells, and pre-paid contracts just are cash engines if you are growing fast enough. Don’t wait to invest in customer success and account management. So is SaaS cursed? You can’t run your core team on $6m in cash per year?
When we announced our investment in and partnership with Mattermost about a year ago , I wrote about a new architecture for SaaS. If you’ve used the AWS IAM (identity access management) console, you realize how complex access control has become. Novel database querying engines like Dremio, Presto, GraphQL enable this vision.
For example, machine learning models can forecast sales, optimize pricing, and evaluate investment scenarios in real time. Risk Assessment: AI evaluates thousands of factors (credit data, economic indicators, customer behavior) to assess loan or investment risks more accurately than traditional methods.
And more importantly – which ones are really going to deliver a return on investment for your precious (and limited) budget? Mercury’s product also includes integrations, rules, and shortcuts that were engineered to help founders spend as little time as possible thinking about banking. AWS – Cloud computing. Apply now.
Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011).
Databricks’ CEO, Ali Ghodsi, shares why Open Source is becoming a multi-billion investment, why it’s taking over multiple industries, and why it’s here to stay. For us, the SaaS model Amazon Web Services (AWS) offered was an amazing one to look at. Open Source and Linux dominate every industry they’re a part of.
A senior engineer posted on LinkedIn that they worked at Spotify for four years and quit on the spot. 2: What Keeps Someone Motivated In The Startup World Jason has been successful, has had exits, has invested in great companies, and has built SaaStr into what it is, so what motivates him and other founders to keep going? “It
For some context, Base10 is a research-driven investment firm focusing on companies automating the largest sectors of the real economy. Engineers are more productive because Github’s Copilot writes 50% of code. An even more dramatic shift we’re seeing is that many of you are finding yourselves more productive these days.
And with a greater impact on your customer satisfaction – and ultimately your company’s bottom line – it’s increasingly important to invest in your human support team as a real strategic lever in your business. You’ve probably had at least one awful support experience where automation has been used to disastrous effect.
To achieve our mission of making internet business personal and scaling to support larger and larger customers, we have been continually, thoughtfully, and carefully investing in our people, systems, and processes to maintain Intercom’s high standards of availability. Here’s how we do it. Availability is embedded our culture.
You can find the original post here Today we’re very excited to announce our partnership and Series B investment in Tabular , the company behind Apache Iceberg. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS).
I’m talking about product-led growth as an investment strategy, but really my background is 10 years of operating experience in the product-led growth world. Now I’m investing in that. I say investment strategy, but really it’s like how do you build a company that’s focused on product-led growth?
If there’s one thing we’ve learned as we build full-stack SaaS across industries and user cases, it’s this: SaaS is a 3-sided balancing act: feature agility; compliance readiness; and return on infrastructure investment. Engineers may have a hard time unlearning long-held beliefs of attaining perfection in the application.
This is the fifth post in a content series exploring Intercom’s investment in supporting large businesses. Intercom services and data are hosted in Amazon Web Services (AWS) facilities in the USA (us-east-1), Dublin, Ireland (eu-west-1), and Sydney, Australia. . Explore other articles in the series. Something we’re missing?
Previously, Amit led marketing efforts at startups like Tact AI (1st AI Assistant for Sales backed by AWS, Microsoft, and Salesforce), HP Inc (next-gen computing) and Spire AI (Human Capital SaaS). In a prior life, Amit also led product and UX teams at Yahoo and Oracle.
In 2021, ChartMogul experienced a transformative shift in data strategy when we introduced a dedicated data engineering team. Updating the data engineering stack streamlined data processing; reducing the time and effort invested in manual data handling.
We’ve all seen AWS and what they’ve done with their platform. One of the early co-investments with my prior firm in Bessemer was in Shopify. If you look at companies like Cornerstone OnDemand, which we invested in a long time ago, it took them some time to get to 100 million of ARR. It is staggering.
And so when Amazon called me and they’re like, “Hey you want to come with us and do you want to actually start the mobile services, backend business within AWS?” David: Maybe you can talk about that transition, coming from a business like AWS to financial services, which I think was new for you.
Feature value: a function of time investment of users and customers The set of problems that your SaaS solves won’t survive long in the digital age if all it does is cut prices. Proven best practices that help both finance & engineering teams Of course, not all customers want to pay for all the features.
Interesting for a couple reasons, but Sunil’s been investing in cloud internet since before almost anybody. So, not that many people have started so early in the career, so long in the space, and great investments that we know like Datadog and Fastly, and good at it. GP and founder of Amplify Partners. Jason Lemkin: Crazy.
It goes beyond just engineering culture and draining the backlog using harmonious collaboration. Those awesome new tricks that seem to show up out of nowhere within cloud-first applications like Google Workplace, Slack, Facebook, Twitter, Stripe, the iPhone, and Amazon (both eCommerce and AWS)?
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